Wentao Ma

Wentao Ma

Xi'an University of Technology

H-index: 22

Asia-China

About Wentao Ma

Wentao Ma, With an exceptional h-index of 22 and a recent h-index of 20 (since 2020), a distinguished researcher at Xi'an University of Technology, specializes in the field of artificial intelligence, kernel adaptive filter, information theoretical learning, digital signal processing.

His recent articles reflect a diverse array of research interests and contributions to the field:

A hybrid PV cluster power prediction model using BLS with GMCC and error correction via RVM considering an improved statistical upscaling technique

A Novel Hybrid Model Combining Improved VMD and ELM with Extended Maximum Correntropy Criterion for Prediction of Dissolved Gas in Power Transformer Oil

Robust Dynamic State Estimation for DFIG via the Generalized Maximum Correntropy Criterion Ensemble Kalman Filter

Extended kernel Risk-Sensitive loss unscented Kalman filter based robust dynamic state estimation

Robust state of charge estimation of lithium-ion battery via mixture kernel mean p-power error loss LSTM with heap-based-optimizer

Robust forecasting-aided state estimation of power system based on extended Kalman filter with adaptive kernel risk-sensitive loss

Enhanced square root CKF with mixture correntropy loss for robust state of charge estimation of lithium-ion battery

Gate Recurrent Unit Network based on Hilbert-Schmidt Independence Criterion for State-of-Health Estimation

Wentao Ma Information

University

Position

___

Citations(all)

1641

Citations(since 2020)

1307

Cited By

950

hIndex(all)

22

hIndex(since 2020)

20

i10Index(all)

33

i10Index(since 2020)

30

Email

University Profile Page

Xi'an University of Technology

Google Scholar

View Google Scholar Profile

Wentao Ma Skills & Research Interests

artificial intelligence

kernel adaptive filter

information theoretical learning

digital signal processing

Top articles of Wentao Ma

Title

Journal

Author(s)

Publication Date

A hybrid PV cluster power prediction model using BLS with GMCC and error correction via RVM considering an improved statistical upscaling technique

Applied Energy

Lihong Qiu

Wentao Ma

Xiaoyang Feng

Jiahui Dai

Yuzhuo Dong

...

2024/4/1

A Novel Hybrid Model Combining Improved VMD and ELM with Extended Maximum Correntropy Criterion for Prediction of Dissolved Gas in Power Transformer Oil

Processes

Gang Du

Zhenming Sheng

Jiaguo Liu

Yiping Gao

Chunqing Xin

...

2024/1/16

Robust Dynamic State Estimation for DFIG via the Generalized Maximum Correntropy Criterion Ensemble Kalman Filter

IEEE Transactions on Instrumentation and Measurement

Wentao Ma

Chenyu Wang

Lujuan Dang

Xinyu Zhang

Badong Chen

2023/10/27

Extended kernel Risk-Sensitive loss unscented Kalman filter based robust dynamic state estimation

International Journal of Electrical Power & Energy Systems

Wentao Ma

Xiao Kou

Junbo Zhao

Badong Chen

2023/6/1

Robust state of charge estimation of lithium-ion battery via mixture kernel mean p-power error loss LSTM with heap-based-optimizer

Journal of Energy Chemistry

Wentao Ma

Yiming Lei

Xiaofei Wang

Badong Chen

2023/5/1

Robust forecasting-aided state estimation of power system based on extended Kalman filter with adaptive kernel risk-sensitive loss

International Journal of Electrical Power & Energy Systems

Tong Gao

Jiandong Duan

Jinzhe Qiu

Wentao Ma

2023/5/1

Enhanced square root CKF with mixture correntropy loss for robust state of charge estimation of lithium-ion battery

Journal of Energy Storage

Peng Guo

Wentao Ma

Dele Yi

Xinghua Liu

Xiaofei Wang

...

2023/12/1

Gate Recurrent Unit Network based on Hilbert-Schmidt Independence Criterion for State-of-Health Estimation

arXiv preprint arXiv:2303.09497

Ziyue Huang

Lujuan Dang

Yuqing Xie

Wentao Ma

Badong Chen

2023/3/16

Stacking integrated learning model via ELM and GRU with mixture correntropy loss for robust state of health estimation of lithium-ion batteries

Energy

Jingsong Xue

Wentao Ma

Xiaoyang Feng

Peng Guo

Yaosong Guo

...

2023/12/1

Short-term wind power forecasting using the hybrid model of improved variational mode decomposition and maximum mixture correntropy long short-term memory neural network

International Journal of Electrical Power & Energy Systems

Wenchao Lu

Jiandong Duan

Peng Wang

Wentao Ma

Shuai Fang

2023/1/1

A wind power prediction method based on DE-BP neural network

Frontiers in Energy Research

Ning Li

Yelin Wang

Wentao Ma

Zihan Xiao

Zhuoer An

2022/2/15

Recursive MCC Algorithm with Proportionate Update Mechanism for Robust Sparse System Identification

Wentao Ma

Lihong Qiu

Peng Guo

Yiming Lei

Chenyu Wang

2022/8/21

Robust state of charge estimation for Li-ion batteries based on cubature kalman filter with generalized maximum correntropy criterion

Journal of Energy Storage

Marco A Sandoval-Chileño

Luis A Castañeda

Alberto Luviano-Juárez

Octavio Gutiérrez-Frías

Jorge Vazquez-Arenas

2020/10/1

Noise immune state of charge estimation of li-ion battery via the extreme learning machine with mixture generalized maximum correntropy criterion

Energy

Xiaofei Wang

Quan Sun

Xiao Kou

Wentao Ma

Hong Zhang

...

2022/1/15

An indirect state-of-health estimation method based on improved genetic and back propagation for online lithium-ion battery used in electric vehicles

IEEE Transactions on Vehicular Technology

Ning Li

Fuxing He

Wentao Ma

Ruotong Wang

Lin Jiang

...

2022/8/3

A novel fractional Kalman filter algorithm with noisy input

IEEE Transactions on Circuits and Systems II: Express Briefs

Xinyu Zhang

Keyi Fan

Wentao Ma

Jiemin Duan

Junli Liang

...

2022/11/23

A novel hybrid model based on nonlinear weighted combination for short-term wind power forecasting

International Journal of Electrical Power & Energy Systems

Jiandong Duan

Peng Wang

Wentao Ma

Shuai Fang

Zequan Hou

2022/1/1

PV Power Forecasting Based on Relevance Vector Machine with Sparrow Search Algorithm Considering Seasonal Distribution and Weather Type

Energies

Wentao Ma

Lihong Qiu

Fengyuan Sun

Sherif SM Ghoneim

Jiandong Duan

2022/7/19

A novel electricity consumption forecasting model based on kernel extreme learning machine-with generalized maximum correntropy criterion

Energy Reports

Jiandong Duan

Zequan Hou

Shuai Fang

Wenchao Lu

Mengying Hu

...

2022/11/1

Recursive minimum kernel risk sensitive loss algorithm with adaptive gain factor for robust power system s estimation

Electric Power Systems Research

Wentao Ma

Xiao Kou

Xianzhi Hu

Anxin Qi

Badong Chen

2022/5/1

See List of Professors in Wentao Ma University(Xi'an University of Technology)

Co-Authors

H-index: 96
jose principe

jose principe

University of Florida

H-index: 60
Guan Gui

Guan Gui

Nanjing University of Posts and Telecommunications

H-index: 57
Badong Chen

Badong Chen

Xi'an Jiaotong University

H-index: 40
Haiquan Zhao

Haiquan Zhao

Southwest Jiaotong University

academic-engine